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Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria
1. Introduction to Economic Statistics
ECON304 (Economic Statistics)
Pairach Piboonrugnroj, PhD
Faculty of Economics, Chiang Mai University
me (at) pairach (dot) com
Summer 2016
This course is a part of Bachelor of Economics at Chiang Mai University, Thailand
Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University
ECON304 - 01. Introduction to Economic Statistics
Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria
Outline
What we will learn in this course
1 Basic information
2 Course description
3 Course lecturer
4 Course materials
5 Contents
6 Assessment
7 Grading criteria
Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University
ECON304 - 01. Introduction to Economic Statistics
Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria
Basic information
What you need to know about this course
Day and Time:
M-F 09:30-11:00 AM (No entry after 9:40 AM)
Room:
ECB2401
Prerequisite
751102 and 208272 and 206172 and consent of the
faculty
Midterm Exam:
20th June 2016, 08:00-11:00
Final Exam:
11th July 2016, 08:00-11:00
Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University
ECON304 - 01. Introduction to Economic Statistics
Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria
Course basic information
What you need to know about this course
This course is intended to emphasize the application of
statistics to economic analysis: index numbers, time series,
correlation and regression analysis, the method of least
squares, simple and multiple regression.
Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University
ECON304 - 01. Introduction to Economic Statistics
Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria
Course lecturer
Who is teaching you
Pairach Piboonrungroj, PhD
Director
Supply Chain Economics Research Centre
(SCERC)
Faculty of Economics, Chiang Mai University
Contacts
Email: me@pairach.com
Facebook: fb.com/piboonrungroj
Twitter: @champ pairach
Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University
ECON304 - 01. Introduction to Economic Statistics
Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria
Course materials
Main e-textbook
Piboonrungroj, P. (2015)
‘‘Economic Statistics with R”.
Eduwisor Press: Chiang Mai.
Course webpage:
www.pairach.com/econ304
Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University
ECON304 - 01. Introduction to Economic Statistics
Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria
Contents
There are 30 classes. Each of 1 hour and 30 minutes. Each
topics will be introduced and discussed in two lectures, then
followed by 2 classes of computer programming practices
(with R language).
Contents Assignment/Quiz
Introduction to the course Pre-test
Index numbers (counting methods) Quiz 1
Time series (trend & seasonal decomposition) Assignment 1
Correlation (different types) Quiz 2
Midterm Exam
Regression analysis (foundation and assumption) Course project explained
The method of least squares (OLS) Quiz3
Simple regression (procedure) Quiz4
Multiple regression (model development) Course project submitted
Conclusion
Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University
ECON304 - 01. Introduction to Economic Statistics
Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria
Assessment
Students will be assessed their understanding and ability to
apply statistics methods in economics by five approaches as
following:
Method Marks Details
Quizzes 20 % 4 quizzes on index number, correlation, OLS and
regression, each 5%
Midterm
exam
30 % Index number, Time series and correlation
Final exam 30 % Regression analysis, OLS, Single and multiple re-
gression
Course
project
10 % Select one topic and analyse the data using the
methods learned in the course
Participation 10 % How students engage with the class e.g., Q&A and
attendance record
Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University
ECON304 - 01. Introduction to Economic Statistics
Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria
Grading criteria
Grade Marks
A 80-100
B+ 75-79
B 70-74
C+ 65-69
C 60-64
D+ 55-59
D 50-54
F 0-49
Grade totally judged by thresholds, no mean or normal
distribution associated
No grad request accepted
Decimal number of greater than or equal to 0.5 will be
rounded up
Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University
ECON304 - 01. Introduction to Economic Statistics
Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria
Good luck!
Q&A
Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University
ECON304 - 01. Introduction to Economic Statistics

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Econ304 1 intro

  • 1. Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria 1. Introduction to Economic Statistics ECON304 (Economic Statistics) Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University me (at) pairach (dot) com Summer 2016 This course is a part of Bachelor of Economics at Chiang Mai University, Thailand Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University ECON304 - 01. Introduction to Economic Statistics
  • 2. Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria Outline What we will learn in this course 1 Basic information 2 Course description 3 Course lecturer 4 Course materials 5 Contents 6 Assessment 7 Grading criteria Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University ECON304 - 01. Introduction to Economic Statistics
  • 3. Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria Basic information What you need to know about this course Day and Time: M-F 09:30-11:00 AM (No entry after 9:40 AM) Room: ECB2401 Prerequisite 751102 and 208272 and 206172 and consent of the faculty Midterm Exam: 20th June 2016, 08:00-11:00 Final Exam: 11th July 2016, 08:00-11:00 Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University ECON304 - 01. Introduction to Economic Statistics
  • 4. Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria Course basic information What you need to know about this course This course is intended to emphasize the application of statistics to economic analysis: index numbers, time series, correlation and regression analysis, the method of least squares, simple and multiple regression. Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University ECON304 - 01. Introduction to Economic Statistics
  • 5. Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria Course lecturer Who is teaching you Pairach Piboonrungroj, PhD Director Supply Chain Economics Research Centre (SCERC) Faculty of Economics, Chiang Mai University Contacts Email: me@pairach.com Facebook: fb.com/piboonrungroj Twitter: @champ pairach Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University ECON304 - 01. Introduction to Economic Statistics
  • 6. Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria Course materials Main e-textbook Piboonrungroj, P. (2015) ‘‘Economic Statistics with R”. Eduwisor Press: Chiang Mai. Course webpage: www.pairach.com/econ304 Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University ECON304 - 01. Introduction to Economic Statistics
  • 7. Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria Contents There are 30 classes. Each of 1 hour and 30 minutes. Each topics will be introduced and discussed in two lectures, then followed by 2 classes of computer programming practices (with R language). Contents Assignment/Quiz Introduction to the course Pre-test Index numbers (counting methods) Quiz 1 Time series (trend & seasonal decomposition) Assignment 1 Correlation (different types) Quiz 2 Midterm Exam Regression analysis (foundation and assumption) Course project explained The method of least squares (OLS) Quiz3 Simple regression (procedure) Quiz4 Multiple regression (model development) Course project submitted Conclusion Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University ECON304 - 01. Introduction to Economic Statistics
  • 8. Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria Assessment Students will be assessed their understanding and ability to apply statistics methods in economics by five approaches as following: Method Marks Details Quizzes 20 % 4 quizzes on index number, correlation, OLS and regression, each 5% Midterm exam 30 % Index number, Time series and correlation Final exam 30 % Regression analysis, OLS, Single and multiple re- gression Course project 10 % Select one topic and analyse the data using the methods learned in the course Participation 10 % How students engage with the class e.g., Q&A and attendance record Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University ECON304 - 01. Introduction to Economic Statistics
  • 9. Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria Grading criteria Grade Marks A 80-100 B+ 75-79 B 70-74 C+ 65-69 C 60-64 D+ 55-59 D 50-54 F 0-49 Grade totally judged by thresholds, no mean or normal distribution associated No grad request accepted Decimal number of greater than or equal to 0.5 will be rounded up Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University ECON304 - 01. Introduction to Economic Statistics
  • 10. Basic information Course description Course lecturer Course materials Contents Assessment Grading criteria Good luck! Q&A Pairach Piboonrugnroj, PhD Faculty of Economics, Chiang Mai University ECON304 - 01. Introduction to Economic Statistics